EXPERIMENTAL DESIGN - Sepuluh Nopember Institute Of Technology

MODULE HANDBOOK EXPERIMENTAL DESIGN BACHELOR DEGREE PROGRAM DEPARTEMENT OF STATISTICS FACULTY OF SCIENCE AND DATA ANALYTICS INSTITUT TEKNOLOGI SEPULUH NOPEMBER

ENDORSEMENT PAGE MODULE HANDBOOK EXPERIMENTAL DESIGN DEPARTMENT OF STATISTICS INSTITUT TEKNOLOGI SEPULUH NOPEMBER Proses Process Perumus Preparation Pemeriksa dan Pengendalian Review and Control Persetujuan Approval Penetapan Determination Nama Name Dr. Drs. Purhadi, M.Sc Dr. Drs. Purhadi, M.Sc ; Dra. Wiwiek Setya Winahju, M.S. ; Dr. Sutikno, S.Si, M.Si ; Muhammad Sjahid Akbar, S.Si, M.Si Dr. Santi Wulan Purnami, M.Si Dr. Kartika Fithriasari, M.Si Penanggung Jawab Person in Charge Jabatan Position Dosen Lecturer Tandatangan Signature Tanggal Date March 28, 2019 Tim kurikulum Curriculum team April 15, 2019 Koordinator RMK Course Cluster Coordinator Kepala Departemen Head of Department July 17, 2019 July 30, 2019

MODULE HANDBOOK EXPERIMENTAL DESIGN Module name Module level Code Course (if applicable) Semester Person responsible for the module Lecturer EXPERIMENTAL DESIGN Undergraduate KS184408 EXPERIMENTAL DESIGN Fourth Semester (Genap) Dr. Drs. Purhadi, M.Sc Dr. Drs. Purhadi, M.Sc ; Dra. Wiwiek Setya Winahju, M.S. ; Dr. Sutikno, S.Si, M.Si ; Muhammad Sjahid Akbar, S.Si, M.Si Language Bahasa Indonesia and English Relation to curriculum Undergradute degree program, mandatory, 4th semester. Type of teaching, Lectures, 50 students contact hours Workload 1. Lectures : 3 x 50 180 minutes per week. 2. Exercises and Assignments : 3 x 60 180 minutes (3 hours) per week. 3. Private learning : 3 x 60 180 minutes (3 hours) per week. Credit points 3 credit points (sks) Requirements according to the examination regulations Mandatory prerequisites Learning outcomes and their corresponding PLOs A student must have attended at least 80% of the lectures to sit in the exams. Analisis Regresi /Regression Analysis CLO. 1 Explain the use of experimental design concepts indata collection. CLO. 2 Can formulate experimental designs with one factor and completely randomized design CLO. 3 Can analyze value comparisons middle treatment PLO-01 with multiple comparison and contrast methods, as well as tracking changes in response variables through orthogonal polynomial contrast and regression analysis. CLO. 4 Able to utilize science and technology to process PLO-02 data onexperimental results. CLO. 5 Be able to compile experimental designs with one factor and random designof complete groups, incomplete randomized block design, Latin square design and compiling a two-factor experimental PLO-03 .

Content Study and examination requirements and forms of examination Media employed Reading list CLO .6 Able to make correct decisions based on PLO-07 experimental results and able to communicate the results of analysis both verbally and in writing CLO .7 Able to communicate Effective and collaborating in an interdisciplinary and multidisciplinary team. CLO. 8 Have professional responsibility and work ethics CLO. 9 Able to motivate oneself to think creatively and learn lifelong The puropose of this course is making students are able to design data collection through experiments and be able to analyze experimental data and interpret it. The theoretical material of various environmental designs and treatment designs is conveyed through lectures and discussions. Likewise, data analysis material is conveyed through discussion and discussion as well as practicum in class with and without software (software). In addition, students are given assignments, both independently and in groups, to identify the application of various designs to real problems, either by self-observation or through field studies at government agencies or industries whereactivities are available research and development. The purpose of this assignment is to train students to be able to manage and work in teams and to be responsible for the results of independent and group work. In-class exercises Assignment 1, 2, 3 Mid-term examination Final examination LCD, whiteboard, websites (myITS Classroom), zoom. 1. Box, George EP, William G Hunter, and J Stuart Hunter. 1978. Statistics for EXPERIMENTALers an Introduction to Design: Data Analysis and Model Building. John Wiley dan Sons Inc. 2. Hinkelmann K, Kempthorne O.1994. Design and Analysis of EXPERIMENTALs. New York: John Wiley danSons. 3. Kuehl RO. 2000. Design of EXPERIMENTALs: Statistical Principles of Research Design and Analysis. 4. Montgomery, D.C, 2005. Design and Analysis of EXPERIMENTALs. 6th edition. New York: John Wiley dan Sons Inc. Revisi 23 November 2019

Program Studi Mata Kuliah Kode Mata Kuliah Semester/SKS MK Prasyarat RP-S1 Bahan Kajian Study Materials CPL yang dibebankan MK PLO CP-MK CLO Dosen Pengampu Sarjana, Departemen Statistika, FMKSD-ITS Desain Eksperimen KS184408 IV/3 Analisis Regresi Dr. Drs. Purhadi, M.Sc ; Dra. Wiwiek Setya Winahju, M.S. ; Dr. Sutikno, S.Si, M.Si ; Muhammad Sjahid Akbar, S.Si, M.Si Dasar Sains, Teori Statistika, Pengumpulan Data, Deskripsi dan Eksplorasi, Komputasi dan Data Processing, Pemodelan, Industri dan Bisnis, Pemerintahan dan Kependudukan, Ekonomi dan Manajemen, Kesehatan dan Lingkungan, dan Sosial Humaniora Basic of Science, Statistical Theory, Data Collection, Description and Exploration, Computing and Data Processing, Modeling, Industry and Business, Government and Population, Economics and Management, Health and Environment, and Social Humanities CPL-1 Mampu menerapkan pengetahuan teori statistika, matematika, dan komputasi CPL-2 Mampu merancang dan melaksanakan pengumpulan data dengan metodologi yang benar CPL-3 Mampu menganalisis data dengan metode statistika yang tepat dan mengintepretasikannya CPL-7 Mampu berkomunikasi secara efektif dan bekerjasama dalam tim yang interdisiplin dan multidisiplin PLO-1 Able to apply knowledge of statistical theory, mathematics, and computation PLO-2 Able to design and carry out data collection with correct methodology PLO-3 Able to analyze data with appropriate statistical methods and interpret it PLO-7 Able communicate effectively and cooperate in interdisciplinary and multidisciplinary teams CPMK.1 Menjelaskan penggunaan konsep desain eksperimen dalam pengumpulan data CPMK.2 Dapat menyususn rancangan percobaan dengan satu faktor dan rancangan acak lengkap (RAL) CPMK.3 Dapat menganalisis perbandingan nilai tengah perlakuan dengan metode perbandingan berganda, dan kontras, serta penelusuran perubahan variabel respon melalui kontras polinomial orthogonal dan analisis regresi CPMK.4 Mampu memanfaatkan IPTEKS untuk mengolah data hasil eksperimen CPMK.5 Dapat menyusun rancangan percobaan dengan satu faktor dan rancangan acak kelompok lengkap (RAKL), rancangan acak kelompok tak lengkap, Rancangan Bujur Sangkar Latin (RBSL) dan menyusun rancangan percobaan dua faktor CPMK.6 Mampu mengambil keputusan yang tepat berdasarkan hasil eksperimen dan mampu mengkomunikasikan hasil analisis baik secara lisan maupun tertulis CPMK.7 Mampu berkomunikasi secara efektif dan bekerjasama dalam tim yang interdisiplin dan multidisiplin CPMK.8 Memiliki tanggung jawab dan etika profesi CPMK.9 Mampu memotivasi diri untuk berpikir kreatif dan belajar sepanjang hayat CLO. 1 Explain the use of experimental design concepts indata collection. Revisi 23 November 2019

Program Studi Mata Kuliah Kode Mata Kuliah Semester/SKS MK Prasyarat RP-S1 Dosen Pengampu Sarjana, Departemen Statistika, FMKSD-ITS Desain Eksperimen KS184408 IV/3 Analisis Regresi Dr. Drs. Purhadi, M.Sc ; Dra. Wiwiek Setya Winahju, M.S. ; Dr. Sutikno, S.Si, M.Si ; Muhammad Sjahid Akbar, S.Si, M.Si CLO. 2 Can formulate experimental designs with one factor and completely randomized design CLO. 3 Can analyze value comparisons middle treatment with multiple comparison and contrast methods, as well as tracking changes in response variables through orthogonal polynomial contrast and regression analysis. CLO. 4 Able to utilize science and technology to process data onexperimental results. CLO. 5 Be able to compile experimental designs with one factor and random designof complete groups, incomplete randomized block design, Latin

6. Stages in experimental design and scientific methodology 7.Development of experimental design disciplines and their implementation 4. Can provide examples of experimental designs in real cases. 5. Can explain several concepts of treatment design types, environment, and measurement (response). 6. Can explain the stages of experimental design and